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Research lead

research_lead

Runs HarborRank's in-product research on a saved lead and stores the evidence: money keywords with volume, the lead's Google Maps position and who holds #1, the primary keyword checked from three points around the business, the top three competitors with profile depth (photos, categories, 24h hours, Q&A, distance), the lead's organic footprint, contact discovery, an optional AI Overview check, and a quick site audit. Then writes the Markdown teardown that get_lead_teardown returns. On hosted HarborRank this requires a paid plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadIdYesLead id from list_leads.
includeAiNoAlso check whether Google AI Overviews cite the lead's domain — the one call that is not cents. Defaults to false.
projectIdYesRequired. The HarborRank project ID to scope this call to. Get one from list_projects.
includeAuditNoStart a 10-page crawl of the lead's site (its findings land on the lead when it finishes). Defaults to true.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metaNo
skippedYes
aiMentionedYes
auditStartedYes
contactEmailYes
leadPositionYes
keywordsCheckedYes
competitorsFoundYes
teardownAvailableYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / includeAudit / description
      Previous value: -"Start a 10-page crawl of the lead's site (free; its findings land on the lead when it finishes). Defaults to true."New value: +"Start a 10-page crawl of the lead's site (its findings land on the lead when it finishes). Defaults to true."
  2. Added

TDQS

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